{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import re\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def ParseLog(filename, key):\n",
    "    data = []\n",
    "    with open(filename, 'r') as f:\n",
    "        for line in f:\n",
    "            m = re.search(key+'\\s*([\\d\\.]*)', line)\n",
    "            if m:\n",
    "                data.append(float(m.group(1)))\n",
    "    return np.asarray(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def medfilt (x, k):\n",
    "    \"\"\"Apply a length-k median filter to a 1D array x.\n",
    "    Boundaries are extended by repeating endpoints.\n",
    "    \"\"\"\n",
    "    assert k % 2 == 1, \"Median filter length must be odd.\"\n",
    "    assert x.ndim == 1, \"Input must be one-dimensional.\"\n",
    "    k2 = (k - 1) // 2\n",
    "    y = np.zeros ((len (x), k), dtype=x.dtype)\n",
    "    y[:,k2] = x\n",
    "    for i in range (k2):\n",
    "        j = k2 - i\n",
    "        y[j:,i] = x[:-j]\n",
    "        y[:j,i] = x[0]\n",
    "        y[:-j,-(i+1)] = x[j:]\n",
    "        y[-j:,-(i+1)] = x[-1]\n",
    "    return np.median (y, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def PlotLog(log, key, preproc=False):\n",
    "    plt.figure(figsize=(15,10))\n",
    "    for filename, param in log.iteritems():\n",
    "        data = ParseLog(filename, key)\n",
    "        # preprocess\n",
    "        if preproc:\n",
    "            data = medfilt(np.log(data), 3)\n",
    "        color, line, label = param\n",
    "        plt.plot(data, color + line, label='{}-{}({})'.format(label, key, np.max(data[:])))\n",
    "    plt.grid('on')\n",
    "    plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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Ys2bwj3/AP/8JXbvCokXx1uMssfJhXhSVWVE+zIuiMiuSlD02UDKuXj147jnY\nay9o3Ro++STuiiRJkiRJSh5HeFRixAj4/e/h/vuhc+e4q5EkSZLSwREeKR1soGg9r78Oxx8PF10E\n558PgX/MS5IkSdvEBoqUDo7waD0//zlMmgSjRsHJJ8Py5RX32c4SKx/mRVGZFeXDvCgqsyJJ2WMD\nRRtp0iR3EmXpUmjfHubMibsiSZIkSZLiFXmEJwiCIuBdYFYYhses8/iFwI1A/TAMv9nE6xzhKVBh\nCH/6E9x5Jzz6KLRoEXdFkiRJUuFxhEdKh3xOoJwH/GvdB4Ig2BXoCHxRlkUpGYIALr8cbrkFunSB\nhx6KuyJJkiRJkuIRqYGyplHSBRixwS8NAy4u66KULN27w0sv5e7Q87vfwapV5fM5zhIrH+ZFUZkV\n5cO8KCqzIknZE/UEytpGScksThAExwJfhmE4rTwKU7I0bw5vv51bMNutGyxeHHdFkiRJkiRVnMql\nPSEIgqOAeWEYTgmCoHjNY9WA35Eb3yl56ubeY8CAATRt2hSA2rVrc+CBB1JcXAz82L33OvnX9evD\n738/kVtvhdati3nySZg1q+zev7i4OFG/X6+TfW1evPbaa6+9jvt6raTU43VyrqdMmcKiRYsAmDFj\nBpLSodQlskEQXAf0BVYC1YCawLPA4cBSco2TXYHZQMswDL/e4PUukU2hO+6Aq66CBx+EDh3irkaS\nJElKLpfISulQVNoTwjC8LAzDJmEY7gH8Cng5DMNeYRjuFIbhHmEY7g7MAg7asHmi9DrjDBg7Fvr1\ng+HDc3fs2VYb/tccaUvMi6IyK8qHeVFUZkWSsqfUBkpEIVsY4VE6tWsHb70Fd98Np50G338fd0WS\nJEmSJJWPUkd4tvkDHOFJvf/7PzjpJJg3Dx55BBo2jLsiSZIkKTkc4ZHSoaxOoCjDatSAceNyu1Ba\ntoTJk+OuSJIkSZKksmUDRWWiqAiuvhqGDoXOnXP7UfLlLLHyYV4UlVlRPsyLojIrkpQ9pd7GWMpH\nz56w117QrRtMmwbXXJNrrkiSJEmSVMjcgaJy8fXXuWZK3bowahTUrBl3RZIkSVI83IEipYNnA1Qu\nGjSAF1/MLZT92c9g+vS4K5IkSZIkaevZQFG5qVIF7rgDzjoLDjsMXnlly893llj5MC+KyqwoH+ZF\nUZkVScoeGygqV0GQa6CMHg0nnAB/+Qs40SVJkiRJKjTuQFGFmT4djj0W2rSB4cNzJ1QkSZKktHMH\nipQOnkDmC55GAAAgAElEQVRRhdljD3jzTZgzBzp0gPnz465IkiRJkqRobKCoQtWsCY89Bu3aQcuW\n8P77P/6as8TKh3lRVGZF+TAvisqsSFL22EBRhSsqgj/+EQYPho4d4ZFH4q5IkiRJkqQtcweKYjV5\nMnTvDiefDFdemWuuSJIkSWniDhQpHWygKHbz5sFxx0GjRvDQQ1C5ctwVSZIkSWXHBoqUDv73fsWu\nYUN4+WWYPn0iV10VdzUqFM6eKyqzonyYF0VlViQpe2ygKBG23x6uuAJGjYKnnoq7GkmSJEmS1ucI\njxLlzTdzO1EmTYLdd4+7GkmSJGnbOcIjpYMnUJQohx0Gv/sd9OoFy5fHXY0kSZIkSTk2UJQYa2eJ\nzzsvd/rk/PPjrUfJ5uy5ojIryod5UVRmRZKyxwaKEicI4O674aWX4IEH4q5GkiRJkiR3oCjBpk2D\nX/wCJk6EZs3irkaSJEnaOu5AkdLBEyhKrObNYehQ6NEDliyJuxpJkiRJUpbZQFFibGqWuH9/aNsW\nTj0VPMikdTl7rqjMivJhXhSVWZGk7LGBosQbPhw+/RRuvTXuSiRJkiRJWeUOFBWE6dOhdWt48snc\nV0mSJKlQuANFSgdPoKgg7LEHjBgBvXvDggVxVyNJkiRJyhobKEqM0maJjzkGTjgBTjwRVq2qmJqU\nXM6eKyqzonyYF0VlViQpe2ygqKBcey0sX577KkmSJElSRXEHigrOnDnQogXccw906hR3NZIkSdKW\nuQNFSgdPoKjg7LwzjB6du8Xxl1/GXY0kSZIkKQtsoCgx8pklbtcOzj8fjj8efvih/GpScjl7rqjM\nivJhXhSVWZGk7LGBooJ18cXQoAFccknclUiSJEmS0s4dKCpo334LhxwCgwfnTqNIkiRJSeMOFCkd\nbKCo4E2eDJ07w+uvwz77xF2NJEmStD4bKFI6OMKjxNjaWeKDD4brroMePeC778q2JiWXs+eKyqwo\nH+ZFUZkVScoeGyhKhVNPzY3ynHkmeOBJkiRJklTWHOFRaixdCq1bw29/C6efHnc1kiRJUo4jPFI6\n2EBRqnzyCbRpA889lzuRIkmSJMXNBoqUDo7wKDHKYpZ4773h9tuhV6/cHXqUXs6eKyqzonyYF0Vl\nViQpe2ygKHV69oRjj4X+/WH16rirkSRJkiSlgSM8SqUffoDiYjjmGBg0KO5qJEmSlGWO8EjpYANF\nqTVrFhx6KDz0UK6ZIkmSJMXBBoqUDo7wKDHKepZ4113h/vuhTx+YM6dM31oJ4Oy5ojIryod5UVRm\nRZKyxwaKUq1jRzjjDOjdG1aujLsaSZIkSVKhcoRHqbd6NXTpAgccADfcEHc1kiRJyhpHeKR08ASK\nUq+oCB54AMaMgSeeiLsaSZIkSVIhsoGixCjPWeL69WHsWDjtNPjss3L7GFUgZ88VlVlRPsyLojIr\nkpQ9NlCUGa1awZVXQs+esGxZ3NVIkiRJkgqJO1CUKWGYuytPjRpw111xVyNJkqQscAeKlA6eQFGm\nBAHceSe8/jrce2/c1UiSJEmSCoUNFCVGRc0S16wJ48fDxRfD1KkV8pEqB86eKyqzonyYF0VlViQp\ne2ygKJOaNYNbbsntQ/nf/427GkmSJElS0rkDRZl21lkwb17uRErgVKokSZLKgTtQpHTwBIoybdgw\nmDkT/ud/4q5EkiRJkpRkNlCUGHHMEm+/PYwbB4MHwxtvVPjHaxs4e66ozIryYV4UlVmRpOyxgaLM\na9oURo6EX/0Kvv467mokSZIkSUnkDhRpjcsvh0mT4PnnoVKluKuRJElSWrgDRUoHT6BIa1xzDYQh\nXH113JVIkiRJkpLGBooSI+5Z4kqVYPRouOceePbZWEtRBHHnRYXDrCgf5kVRmRVJyh4bKNI6GjaE\nMWNgwAD44ou4q5EkSZIkJYU7UKRNGDoUHn4YXnstd6ceSZIkaWu5A0VKBxso0iaEIfToAY0awa23\nxl2NJEmSCpkNFCkdHOFRYiRpljgIcrtQnn8+txdFyZOkvCjZzIryYV4UlVmRpOyxgSJtxo47wvjx\ncN558K9/xV2NJEmSJClOjvBIpbjnHrjxRnj7bahRI+5qJEmSVGgc4ZHSwQaKFMEpp8CyZfDgg7nx\nHkmSJCkqGyhSOjjCo8RI8izxrbfmxnhuvz3uSrRWkvOiZDEryod5UVRmRZKyp3LcBUiFoFq13D6U\nww6DFi2gZcu4K5IkSZIkVSRHeKQ8PP44DBwI//wn1KsXdzWSJEkqBI7wSOlgA0XK08UXw4cfwlNP\nQZFDcJIkSSqFDRQpHfzrnxKjUGaJr7sOlizJfVV8CiUvip9ZUT7Mi6IyK5KUPZEbKEEQFAVB8F4Q\nBE+uuR4SBMFHQRBMCYLgkSAIapVfmVJybLcdPPww/OUv8OKLcVcjSZIkSaoIkUd4giA4HzgEqBWG\n4TFBEHQAXg7DcHUQBIOBMAzD323idY7wKJVeeQX69IF334Vddom7GkmSJCWVIzxSOkQ6gRIEwa5A\nF2DE2sfCMHwxDMPVay4nAbuWfXlScrVvD+eeC8cfDytWxF2NJEmSJKk8RR3hGQZcDGzuKMmvgWfL\npCJlViHOEl96KdSpA4MGxV1J9hRiXhQPs6J8mBdFZVYkKXtKbaAEQXAUMC8MwylAsObHur/+e2BF\nGIajy6dEKbmKiuD+++HRR+GRR+KuRpIkSZJUXipHeE4b4JggCLoA1YCaQRDcH4Zh/yAIBpAb7fnF\nlt5gwIABNG3aFIDatWtz4IEHUlxcDPzYvffa6+Li4kTVk8/1uHHFdOkCy5ZNZNdd468nC9eFnBev\nvfbaa6/Tcb1WUurxOjnXU6ZMYdGiRQDMmDEDSekQeYksQBAE7YAL1yyR/SUwFGgbhuHCLbzGJbLK\nhDvuyN2ZZ9IkqF497mokSZKUFC6RldKhaBte+2egBjAhCILJQRD8pYxqUkZt+F9zCs1vfgMHHABn\nnQX2DMtfoedFFcesKB/mRVGZFUnKnigjPCXCMHwVeHXNz39aLhVJBSoIcqdQWrWCkSPhlFPirkiS\nJEmSVFbyGuHZqg9whEcZ8/HHcPjh8MILcNBBcVcjSZKkuDnCI6XDtozwSNqE//ovuPVW6NkT1uwO\nkyRJkiQVOBsoSow0zRL37g1HHQUDBrgPpbykKS8qX2ZF+TAvisqsSFL22ECRyslNN8HcubmvkiRJ\nkqTC5g4UqRzNnAktW8LYsdC2bdzVSJIkKQ7uQJHSwRMoUjlq0gTuuw/69MmdRpEkSZIkFSYbKEqM\ntM4Sd+4Mp54KJ5wAK1fGXU16pDUvKntmRfkwL4rKrEhS9thAkSrAFVdAlSq5r5IkSZKkwuMOFKmC\nzJ8PhxwCt90GXbvGXY0kSZIqijtQpHSwgSJVoLfegm7dYNIk2H33uKuRJElSRbCBIqWDIzxKjCzM\nEv/sZ3DZZdCzJyxfHnc1hS0LeVHZMCvKh3lRVGZFkrLHBopUwc49F/bcEwYOjLsSSZIkSVJUjvBI\nMVi8GA49FC6/HPr1i7saSZIklSdHeKR0sIEixeSDD6B9e3j5ZWjePO5qJEmSVF5soEjp4AiPEiNr\ns8T//d9w8825fShLlsRdTeHJWl609cyK8mFeFJVZkaTssYEixahfPyguhlNOAQ9qSZIkSVJyOcIj\nxWz5cmjTBk46KbdgVpIkSeniCI+UDjZQpAT4/HNo3Roefzx3q2NJkiSlhw0UKR0c4VFiZHmWePfd\nYcQI6N0b5s+Pu5rCkOW8KD9mRfkwL4rKrEhS9thAkRKia1c48UTo2xdWrYq7GkmSJEnSuhzhkRJk\n5Uro2BHatYOrr467GkmSJJUFR3ikdLCBIiXM3LlwyCEwciR07hx3NZIkSdpWNlCkdHCER4nhLHHO\nTjvBQw/l7sozc2bc1SSXeVFUZkX5MC+KyqxIUvbYQJESqG1buPBCOP54+OGHuKuRJEmSJDnCIyVU\nGEL37rDbbnDLLXFXI0mSpK3lCI+UDp5AkRIqCODee+Gpp+Dhh+OuRpIkSZKyzQaKEsNZ4o3Vrg3j\nx8Nvfwsffxx3NcliXhSVWVE+zIuiMiuSlD02UKSEO+gguP566NkTvvsu7mokSZIkKZvcgSIVgDCE\nX/8aVqyAUaNy4z2SJEkqDO5AkdLBEyhSAQgCuO02mDoV7rwz7mokSZIkKXtsoCgxnCXesurVc/tQ\nrrgC3n037mriZ14UlVlRPsyLojIrkpQ9NlCkArL33nD77dCrF3zzTdzVSJIkSVJ2uANFKkAXXACf\nfAJPPglFtkElSZISzR0oUjr4Vy+pAN1wA3z7be6rJEmSJKn82UBRYjhLHN1228HYsTB8OLzyStzV\nxMO8KCqzonyYF0VlViQpe2ygSAVql11ytzQ+8UT46qu4q5EkSZKkdHMHilTgrr0Wnn8eXn45dzJF\nkiRJyeIOFCkdbKBIBW71ajj6aGjWDG68Me5qJEmStCEbKFI6OMKjxHCWeOsUFeVGecaNg8cei7ua\nimNeFJVZUT7Mi6IyK5KUPTZQpBSoVy+3VPY3v4HPPou7GkmSJElKH0d4pBS57Ta46y546y2oVi3u\naiRJkgSO8EhpYQNFSpEwzN2Vp3p1GDEi7mokSZIENlCktHCER4nhLPG2CwK4805480245564qylf\n5kVRmRXlw7woKrMiSdlTOe4CJJWtGjXgkUegbVs4+GA44IC4K5IkSZKkwucIj5RSo0fDVVfBu+/C\njjvGXY0kSVJ2OcIjpYMNFCnFzj4b5s6F8eNz4z2SJEmqeDZQpHRwB4oSw1nisnfzzfDllzBsWNyV\nlD3zoqjMivJhXhSVWZGk7HEHipRi228P48ZBq1bQsiX8/OdxVyRJkiRJhckRHikDnn0WTjsN/vlP\naNgw7mokSZKyxREeKR0c4ZEy4Mgj4eSToU8fWLUq7mokSZIkqfDYQFFiOEtcvq6+OrdI9qqr4q6k\nbJgXRWVWlA/zoqjMiiRljw0UKSMqVcrd2vi+++Dpp+OuRpIkSZIKiztQpIx54w047jj4xz+gadO4\nq5EkSUo/d6BI6eAJFClj2rSBQYOgVy/4/vu4q5EkSZKkwmADRYnhLHHFGTgQmjSBCy6Iu5KtZ14U\nlVlRPsyLojIrkpQ9NlCkDAoCGDkSJkzI7UWRJEmSJG2ZO1CkDJs6FY44Al59FfbbL+5qJEmS0skd\nKFI6eAJFyrD994cbb4QePWDJkrirkSRJkqTksoGixHCWOB4DBsDPfw6nnw6FdFjMvCgqs6J8mBdF\nZVYkKXtsoEhi+HD4+GO47ba4K5EkSZKkZHIHiiQAPvsMfvYz+NvfoFWruKuRJElKD3egSOngCRRJ\nAOy5J9x1Fxx/PCxcGHc1kiRJkpQsNlCUGM4Sx+/YY6F3b+jbF1avjruaLTMvisqsKB/mRVGZFUnK\nHhsoktZz3XWwdCn86U9xVyJJkiRJyeEOFEkbmTMHDjkE7rsPOnaMuxpJkqTC5g4UKR08gSJpIzvv\nDKNHQ//+MGtW3NVIkiRJUvxsoCgxnCVOluJiOO+83FLZFSvirmZj5kVRmRXlw7woKrMiSdljA0XS\nZl1yCdSrl/sqSZIkSVnmDhRJW/Ttt7l9KEOGQM+ecVcjSZJUeNyBIqWDDRRJpfrnP+GXv4Q33oC9\n9467GkmSpMJiA0VKB0d4lBjOEifXIYfAtddCjx65WxwngXlRVGZF+TAvisqsSFL2RG6gBEFQFATB\n5CAInlxzXScIgheCIPh3EATPB0GwY/mVKSlup58OBx0EZ54JHiqTJEmSlDWRR3iCIDgfOASoFYbh\nMUEQ3AAsDMNwSBAElwJ1wjActInXOcIjpcR330GrVrm785x2WtzVSJIkFQZHeKR0iHQCJQiCXYEu\nwIh1Hj4WuG/Nz+8DupVtaZKSZocd4JFH4LLLYPLkuKuRJEmSpIoTdYRnGHAxsO5RkoZhGM4DCMNw\nLtCgjGtTxjhLXBj22Qf+8hfo1St3h564mBdFZVaUD/OiqMyKJGVPqQ2UIAiOAuaFYTgF2NKxM+d0\npIzo1Qu6doWTToLVq+OuRpIkSZLKX6k7UIIguA7oC6wEqgE1gceAFkBxGIbzgiDYCXglDMN9N/H6\n8KSTTqJp06YA1K5dmwMPPJDi4mLgx+691157XVjXP/wABx44kcMPh7/+Nf56vPbaa6+99tprr5Ny\nPWXKFBYtWgTAjBkzuO+++9yBIqVA5CWyAEEQtAMuXLNEdgi5JbI3uERWyqYvv4SWLWHMGGjXLu5q\nJEmSksklslI6FG3DawcDHYMg+DdwxJpraaut7d6rcDRuDPfdB336wJw5FfvZ5kVRmRXlw7woKrMi\nSdlTOZ8nh2H4KvDqmp9/A3Qoj6IkFY5OneD00+FXv4KXXoLKef2pIkmSJEmFIa8Rnq36AEd4pNRb\nvRq6dIEDD4TBnkWTJElajyM8UjpsywiPJAFQVAQPPAAPPQRPPhl3NZIkSZJU9mygKDGcJS5s9evD\nww/DaafB9Onl/3nmRVGZFeXDvCgqsyJJ2WMDRVKZad0aLr8cevaE5cvjrkaSJEmSyo47UCSVqTDM\nLZTdcUe48864q5EkSYqfO1CkdPAEiqQyFQQwYgT8/e+5WxxLkiRJUhrYQFFiOEucHjVrwiOPwEUX\nwbRp5fMZ5kVRmRXlw7woKrMiSdljA0VSuWjWDIYNy+1DWbw47mokSZIkadu4A0VSuTrzTFiwAMaO\nzY33SJIkZY07UKR08ASKpHI1bBh8/jncckvclUiSJEnS1rOBosRwljidqlaF8ePh+uvhzTfL7n3N\ni6IyK8qHeVFUZkWSsscGiqRy17Qp3H137vbG8+fHXY0kSZIk5c8dKJIqzGWXwTvvwHPPQaVKcVcj\nSZJUMdyBIqWDJ1AkVZg//AFWrcp9lSRJkqRCYgNFieEscfpVrgwPPZQb53nuuW17L/OiqMyK8mFe\nFJVZkaTssYEiqUI1bJhrogwYADNnxl2NJEmSJEXjDhRJsbjpJhg3Dl57DapUibsaSZKk8uMOFCkd\nbKBIikUYwnHHwa67wp//HHc1kiRJ5ccGipQOjvAoMZwlzpYggHvugWefhTFj8n+9eVFUZkX5MC+K\nyqxIUvbYQJEUm9q1Yfx4OOcc+OijuKuRJEmSpM1zhEdS7EaOzO1EefttqFEj7mokSZLKliM8UjrY\nQJGUCL/+NfzwA4walRvvkSRJSgsbKFI6OMKjxHCWONtuvRWmTYM77oj2fPOiqMyK8mFeFJVZkaTs\nqRx3AZIEUL16bh9KmzbQogUcemjcFUmSJEnSjxzhkZQojz4KF14I774L9erFXY0kSdK2c4RHSgcb\nKJIS56KLcnfl+dvfoMhBQ0mSVOBsoEjp4F9NlBjOEmut66+H//1fGDx4888xL4rKrCgf5kVRmRVJ\nyh4bKJISZ7vt4OGHc4tlX3op7mokSZIkyREeSQn20kvQrx+88w7sskvc1UiSJG0dR3ikdPAEiqTE\nOuIIOPts6N0bVqyIuxpJkiRJWWYDRYnhLLE25Xe/gx13zH1dl3lRVGZF+TAvisqsSFL22ECRlGhF\nRTBqFIwfn7vFsSRJkiTFwR0okgrCO+/AUUfBG2/AT38adzWSJEnRuQNFSgdPoEgqCIceCtdcAz17\nwrJlcVcjSZIkKWtsoCgxnCVWac44A/77v3OLZc2LojIryod5UVRmRZKyp3LcBUhSVEEAf/0rtGoF\nX34J33wDHTpArVpxVyZJkiQp7dyBIqngzJsHY8bAM8/Am29Cy5Zw5JHQpQvsu2+u0SJJkpQU7kCR\n0sEGiqSC9t138PLLuWbKM8/k7trTpUvuR/v2UL163BVKkqSss4EipYM7UJQYzhIrH2vzssMO0LUr\n3H47zJgBTz0FTZvCTTfBTjvlTqb8+c/wn//EWa3i5J8tyod5UVRmRZKyxwaKpNQIAmjWDC6+GF55\nJbcn5dRTYcoUOPxw2GcfOP98mDABvv8+7molSZIkFRJHeCRlQhjmGilrR30++ACKi3OjPkceCU2a\nxF2hJElKK0d4pHSwgSIpkxYuhBdeyDVTnnsuN+6zdnfKYYfBdtvFXaEkSUoLGyhSOjjCo8Rwllj5\n2Na81KsHJ5wAo0bB3LkwYgRUrQoXXQQNGkCvXnDPPTBnTtnUq/j4Z4vyYV4UlVmRpOyxgSIp8ypV\nglat4Jpr4J134OOP4eijcydTmjWDQw6BK66At96CVavirlaSJElSHBzhkaQtWLky1zhZuztl9mzo\n3Dk36tO5M9SvH3eFkiQp6RzhkdLBBook5WHWLHj22Vwz5eWXYb/9ftydctBBUOS5PkmStAEbKFI6\n+K/6SgxniZWPuPKy665w2mnw2GPw9ddw7bWwaBH07QuNGsHJJ8O4cbnHlAz+2aJ8mBdFZVYkKXts\noEjSVtp+ezjiCBg6FD76CN58E1q0gHvvzd0WuV07uOEGmDYtdxtlSZIkSYXLER5JKgfLlsHEiblR\nn6efhhUrfhz1OeIIqFEj7golSVJFcYRHSgcbKJJUzsIQPvnkx0W0kyZB69Y/NlT23hsC/5VKkqTU\nsoEipYMjPEoMZ4mVj0LKSxDAPvvA+efDhAnw1Vfw29/mbpfcoQPstRecc05uOe2yZXFXmz6FlBXF\nz7woKrMiSdljA0WSKljNmnDssfDXv8LMmfD447nltIMHQ8OGcNRRcNtt8PnncVcqSZIkaS1HeCQp\nQRYtyp1SeeaZ3ImUOnVyYz5HHQU//zlUqRJ3hZIkKV+O8EjpYANFkhJq9WqYPPnH3Skffwy/+EWu\noXLkkbDLLnFXKEmSorCBIqWDIzxKDGeJlY8s5KWoKHdb5CuvzC2e/fRTOO44ePll2H9/OOAAuOwy\neP11WLky7mqTKwtZUdkxL4rKrEhS9thAkaQC8ZOfQN++MHo0fP013H57rsly7rnQoAH86ldw//25\nX5MkSZJUthzhkaQU+OoreO653KjPiy/mbo289jbJLVrkGi2SJCkejvBI6WADRZJSZsUKeOONH3en\nfP01/PKXuWZKp05Qt27cFUqSlC02UKR08L9JKjGcJVY+zMvmbbcdFBfDkCHwwQfwzjtw2GG50Z+m\nTXN387nuOpgyBbLQ3zYryod5UVRmRZKyxwaKJKXcbrvBGWfAk0/mTqP8f3t3Hyx3Wd4N/HuHYAJB\noAgCEhWQESECISBCAckBQbQVtGKhioAv7YwtgozVPlIqVYvFttZprVTroxYQhCe82SpSsMlBQQwR\nE8EKgkgkoBDKaxWBBO7nj99Jl9Lg7ibZ7J7dz2dmJ+e3OYdzjXPN8fDlvq77Qx9q/vzd321u8nnX\nu5JLLkkeeaTflQIAwOAywgMwwm67Lfn615tRn2uvTV7xitbulF12SYrDxgCw1ozwwHAQoACQJPnl\nL5MFC5ow5Wtfa8KTVWHK2FgyY0a/KwSAyUmAAsPBCA8Dwywx3dAv696MGclv/3Zy1lnJ0qVNkLLj\njsnf/m2yzTbNItq///vkxz/ud6Xd0St0Q7/QKb0CMHoEKAD8L6Uku+6a/PEfJ/PnJ3ffnfzBHyQ3\n3pi86lXNNcnvfW9y5ZXJY4/1u1oAAOg9IzwAdKXW5Pvfb12TfOONza0/q8Z9XvSiflcIAIPFCA8M\nBwEKAGvlgQeakyiXX94spN1661aYsv/+zbXKADDKBCgwHIzwMDDMEtMN/TI4ttgiOeaY5Jxzknvu\nSb7whWTjjZMPfCB5/vOTo45q3vv5z/tTn16hG/qFTukVgNEjQAFgndlgg2SffZI///Pk+uuTW25J\njjiiOaEya1YyZ05y2mnJt7+dPPlkv6sFAIDOGeEBYL1YuTL5zndau1Puuis57LBm1Oc1r0m22qrf\nFQJAbxjhgeEgQAGgL+66K7niiuRrX2tu+tlll+S3fqsJVPbcM5nijCQAQ0KAAsPBr6cMDLPEdEO/\nTH4zZybveldy6aXJ8uXJGWckDz2UHHts8oIXJG9/ezJvXvPe2tArdEO/0Cm9AjB62gYopZRppZSF\npZTFpZSbSimnT7y/Rynluon3ry+l7N37cgEYRtOmJYccknziE8nNNzc7UvbeO/nnf26uRT7ooOTj\nH09uuqm5RhkAANa3jkZ4Sikb11ofLaVskOTaJCcn+UiST9RaryylvDbJB2qtY6v5WiM8AKyxX/0q\nGR9v9qZ87WvJihWta5IPOSTZZJN+VwgAv54RHhgOHY3w1FofnfhwWpKpSZ6aeG028f7mSe5e59UB\nMPI22ih57WuTT30quf325BvfSF72suQf/iHZdtvk0EOTT34y+dGPnE4BAKB3OgpQSilTSimLk9yT\n5Kpa66IkpyT5m1LKnUn+KskHe1cmo8AsMd3QL6OplGTnnZNTTkmuuir5+c+TE09srkt+9auTnXZK\n3vOe5Otfb06uJHqF7ugXOqVXAEbP1E4+qdb6VJI9SymbJrm0lDIryR8kObnWelkp5agkX0hy6Oq+\n/oQTTsj222+fJNl8880ze/bszJ07N0nr/3w8e/bs2bPnNXk+8si5OfLIZMGC8dxxR3LffXNz5pnJ\nm940nt13T/bdN5k1K/mP/xiMej0P9vMqg1KP58F9XrJkyUDV43mwnpcsWZKHJragL126NMBw6Poa\n41LKnyV5NMlptdbfeNr7D9daN1vN59uBAsB699BDzSmVyy5rdqccdFBy/PHNVcnTpvW7OgBGiR0o\nMBymtPuEUsqWpZTNJj7eKM0pk5uT/KyUctDE+4ckubWXhQJANzbfPHnzm5PzzkuWLUve+MZmb8p2\n2yV/+IfJwoV2pgAA0Lm2AUqSbZMsKKUsSbIwyb/VWi9PM8LziYndKH8x8QxrbNXxR+iEfqFT4+Pj\nee5zkxNOSObPT264oQlR3va2ZhntGWckd97Z7yoZFH620Cm9AjB62u5AqbXelGTOat6/NsnevSgK\nAHrlxS9O/vRPk1NPbU6hnHNOMmdOsvvuyXHHJW96U/Lc5/a7SgAABk3XO1C6/gZ2oAAw4B5/PPnq\nV3PRCqMAABeFSURBVJsw5eqrk9e/vtmXMjaWbLBBv6sDYLKzAwWGgwAFAJ5m+fLkgguaMOWee5Jj\nj21Opuy6a78rA2CyEqDAcOhkBwqsF2aJ6YZ+oVPd9srzn5+cdFLy3e8mV1zRLJo99NDkFa9IPvWp\n5D//szd1Mhj8bKFTegVg9AhQAOBZvPzlycc/3iyZPeOMZmfKTjslb3hDcsklzegPAACjwQgPAHTh\nkUeSiy9uRnxuuik5+uhmxGeffZLicDYAq2GEB4aDAAUA1tDSpcmXvtSEKVOmNEHKsccmL3pRvysD\nYJAIUGA4GOFhYJglphv6hU71sle23z457bTkRz9KvvjFZNmyZM89k0MOSc4+O/nFL3r2rekRP1vo\nlF4BGD0CFABYS6Uk++2X/OM/Jnffnbz73c2Yz8yZzamUb3wjefLJflcJAMDaMMIDAD2yfHny5S83\nIz7Ll7euRN5ll35XBsD6ZIQHhoMABQDWgx/8oAlSvvSl1smUY45Jttyy35UB0GsCFBgORngYGGaJ\n6YZ+oVOD0isvf3nyV3/V7En56EeT665rrkR+4xuTSy9Nnnii3xWSDE6/MPj0CsDoEaAAwHq0wQbJ\na16TnHdecuedyetfn/zd3yXbbZeceGJy/fWJg5sAAIPHCA8ADIClS5Nzz23GfKZObV2J/MIX9rsy\nANaWER4YDgIUABggtSbf+U5zDfK8ecns2cnxxye/8zvJJpv0uzoA1oQABYaDER4GhlliuqFf6NRk\n65VVVyJ/5jOtK5HnzWstnv33f3clci9Ntn6hf/QKwOgRoADAgJo+PTnqqORf/zW59dZkr72S978/\n2X775NRTk1tu6XeFAACjwwgPAEwyN93U7Eo577zmZMrxxzdXIj/vef2uDIDVMcIDw0GAAgCT1MqV\nzUjP2Wcnl1+ejI01YcrrXpc85zn9rg6AVQQoMByM8DAwzBLTDf1Cp4a5V6ZOba5EPv/81pXIn/xk\n60rkRYtcidytYe4X1i29AjB6BCgAMAQ23TR5xzuSq69Orr8+2Xrr5C1vSXbdNfnLv0yWLet3hQAA\nk5sRHgAYUrUm113X7EuZNy/Zc89mxOeNb3QlMsD6ZIQHhoMABQBGwGOPNbf5nHNOcs01yRFHNGHK\n3LnJFOdRAXpKgALDwa9MDAyzxHRDv9ApvdKYPj1585ubEOWWW5rTKO97nyuRn0m/0Cm9AjB6BCgA\nMGK23jp573uTxYuTr341WbEiOfjg5JWvTD796eT++/tdIQDA4DHCAwBk5crkG99oRnwuv7wJVI47\nzpXIAOuCER4YDgIUAOB/ePjh5KKLmjDlhz9MjjmmCVP23jspfv0H6JoABYaDER4GhlliuqFf6JRe\n6d5mmyXvfGdzJfLChclWWyW/93vJrFnJmWcmd93V7wp7R7/QKb0CMHoEKADAs9pxx+RDH0puuy35\n3OeSO+5I9tgjOfTQ5Nxzk1/+st8VAgCsH0Z4AICu/OpXrSuRr702OfLIZsTHlcgAq2eEB4aDAAUA\nWGP33JN8+ctNmHL//cnb3taEKTvv3O/KAAaHAAWGg/9OxMAwS0w39Aud0iu9tc02ySmntK5Efvzx\n5iTKvvsmZ501+a5E1i90Sq8AjB4BCgCwTuy+e/I3f5MsW5acfnryrW8lL3lJ8qY3JV/5SvLEE/2u\nEABgzRnhAQB65uGHk3nzmhGfW25pXYm8116uRAZGhxEeGA4CFABgvfjJT5qbe845J5k+vQlS3vrW\nZObMflcG0FsCFBgORngYGGaJ6YZ+oVN6ZXDsuGMz2vPjHyef/Wxy++3N2M9hhyVf+tJgXImsX+iU\nXgEYPQIUAGC9KiU54IDkn/4pufvu5J3vbG7ymTkzefvbkwULkqee6neVAAD/kxEeAGAg3HNPcv75\nzYjPgw82VyK/7W2uRAYmPyM8MBwEKADAwPn+95sg5bzzku23T44/Pjn66GSLLfpdGUD3BCgwHIzw\nMDDMEtMN/UKn9MrktMceySc+kdx1V7M35eqrkx12aK5E/pd/SVas6M331S90Sq8AjB4BCgAwsKZO\nTV772uSCC5Kf/jQ5/PDkr/862W675OSTkxtuSBx0BQDWByM8AMCkc/vtrSuRN9qouRL52GObYAVg\n0BjhgeEgQAEAJq1ak2uvTc4+O7n44mTvvZt9KW94QzJjRr+rA2gIUGA4GOFhYJglphv6hU7pleG2\n6krkz32udSXyeee1rkQeH+/uSmT9Qqf0CsDoEaAAAENho42am3ouvzy5+eZkt92aPSk77JCcdlpy\n6639rhAAmMyM8AAAQ+3pVyLvsEOzL8WVyMD6ZIQHhoMABQAYCStXJlde2exLueKK5NBDm30phx+e\nbLhhv6sDhpkABYaDER4GhlliuqFf6JReYZWpU5PXvS658MLmSuTXvCb5+MdbVyJ/73vJggXj/S6T\nScLPFoDRM7XfBQAArG+bb578/u83r1VXIh91VHLnnclzn9vc4DNjRrLJJq2Pn+3V7nNW/b1TLgAw\nuRnhAQBIcyXyE08kv/xl8otfNH/+ule7z3nm30+ZsvYhzLO9nvOcfv+vB/w6RnhgOAhQAAB67Onh\nTDchTKdBTSlrH8I82+cIZ2DtCVBgOAhQGBjj4+OZO3duv8tgktAvdEqv0I3J2C/PFs6sq6Am6c1I\n02QPZyZjr9A/AhQYDnagAABMYqUk06Y1r15czdztWNO993Ye1CS9GWlaFc4U/7oKwDrkBAoAAH3R\ny7GmpDcjTcIZ1oQTKDAcBCgAAAydXo41PfVUc9rnN38zGRtLDj44mTWrWRQMqyNAgeEgQGFgmCWm\nG/qFTukVuqFf6MSKFclll43nySfnZv78ZMGC5KGHkrlzmzBlbCzZeWenVGgRoMBwsAMFAAC6sOGG\nyVZbNYHJMcc07y1b1gQpCxYkZ57ZhCxjY60TKjvsIFABmOycQAEAgHWo1uSOO/Lfp1Pmz2/2pqw6\nnTI2lrzwhf2ukvXJCRQYDgIUAADooVqTH/2oFaaMjyebb946nTJ3brLNNv2ukl4SoMBwsOqKgTE+\nPt7vEphE9Aud0it0Q7/QqW56pZTkZS9L3v3uZN685qrnSy5pFs9ecEGy667N68QTk4svTu6/v3d1\nA7Dm7EABAID1aMqUZLfdmtfJJydPPpksWdKcUPn855N3vKPZmbLqhMqrXpVstlm/qwbACA8AAAyQ\nFSuS7363tZT2O99pTrCs2qFywAHJJpv0u0q6YYQHhoMABQAABtjjjycLF7Z2qNxwQ7LHHq0TKvvt\nl2y0Ub+r5NcRoMBwsAOFgWHunG7oFzqlV+iGfqFT67NXpk1rxnhOPz25+upk+fLkwx9ultOedlpz\npfLYWPKRjyTf+lbyxBPrrTSAkWIHCgAATCIbb5y8+tXNK0n+67+Sa65pTqecckpz489++7VOqOy1\nVzLVb/0Aa80IDwAADJEHH0y++c3WyM9Pf5oceGATqIyNNeM/G2zQ7ypHixEeGA4CFAAAGGL33deM\n/syf34Qqy5c3I0GrltLOmtVctUzvCFBgONiBwsAwd0439Aud0it0Q7/QqcnUK1ttlRx1VHLWWcnN\nNyc/+EHy5jcnN96YHHlksvXWydFHJ5/5TDP+4799AqyeaUgAABgh226bvOUtzStJ7ryzNe7zsY8l\nTz7Z2p8yNpbssEN/6wUYFEZ4AACAJM3pk9tvbwKVVaHK9OmtMGVsLJk5s99VTj5GeGA4CFAAAIDV\nqjW55ZbW/pTx8WSLLVonVObObUaA+PUEKDAc2u5AKaVMK6UsLKUsLqXcVEo5/Wl/955Sys0T75/Z\n21IZdpNplpj+0y90Sq/QDf1Cp0alV0pJdtkl+aM/Si66qFlAO29e89755ycve1ny8pcn73lPcskl\nyQMP9LtigN5puwOl1vp4KWWs1vpoKWWDJNeWUr6eZOMkr0+yW611ZSlly14XCwAA9M+UKc01yHvs\nkbz3vc2+lMWLmxMqn/tccsIJyUte0hr5OfDAZLPN+l01wLrR1QhPKWXjJN9M8u4kf5zks7XW+W2+\nxggPAACMgBUrkkWLWvtTrr8+2XXX1v6UAw5IZszod5XrnxEeGA4dBSillClJbkjykiSfrrV+sJSy\nOMlXkhye5FdJ3l9r/e5qvlaAAgAAI+ixx5KFC1s7VL73vWT27NYJlf32a5bUDjsBCgyHtjtQkqTW\n+lStdc8kM5PsU0qZlWb85zdqrfsm+UCS/9e7MhkFozJLzLqhX+iUXqEb+oVO6ZXOTJ+eHHRQ8uEP\nJ9/8ZrND5fTTk5Urkw9+MNlyyyZM+ehHk2uvTZ54ot8VAzy7tjtQnq7W+kgpZTzNqZNlSS6ZeH9R\nKeWpUsrzaq33P/PrTjjhhGy//fZJks033zyzZ8/O3Llzk7T+z8ezZ8+ePXvuxfMqg1KP58F+XmVQ\n6vE8uM9LliwZqHomy/PGGycbbjieww5LPvaxuXnkkeSss8azeHFy2WVzc9ttyc47j2fPPZN3vWtu\n5sxJrrlmcOrv9HnJkiV56KGHkiRLly4NMBzajvBMLIddUWt9uJSyUZJ/S3JmmtMo29VaTy+lvDTJ\nVbXWF6/m643wAAAAbT3wQHNSZdUOlWXLmkW0q65N3n33ZpHtZGOEB4ZDJwHKbknOTjPuMyXJhbXW\nM0opGyb5QpLZSR5P8r5a69Wr+XoBCgAA0LXly5Px8SZQWbAgue++ZiTo4IObUGXXXZurlgedAAWG\nQ1e38KzRNxCg0KHx8fH/PvoI7egXOqVX6IZ+oVN6pT9+9rNWmDJ/fvLoo8ncua1AZaedBjNQEaDA\ncOhqBwoAAEC/vOAFyVvf2rySZOnSVqDykY80760KU8bGkok1jADrhBMoAADApFdr8uMft06nLFiQ\nzJjR2p8yNtYEMP3gBAoMBwEKAAAwdGpNbr65FaaMj7euTR4ba0Z/nv/89VOLAAWGwyTcYc2wWnUF\nHHRCv9ApvUI39Aud0iuDr5RmyeyJJyYXX9wsoL3wwuSlL03OPbf5c7fdkpNOSi67LHnwwX5XDAw6\nO1AAAIChN2VKMnt28zrllGTlymTx4uaEymc+kxx3XLOEdtUJlQMPTDbdtN9VA4PECA8AADDynngi\nWbSotUNl0aJk1qzWDpX990823njN/tlGeGA4CFAAAACe4bHHkuuuawUqS5Ykc+a0bvjZd99k+vTO\n/lkCFBgOdqAwMMwS0w39Qqf0Ct3QL3RKrwy/6dOboOQjH0muuSa5997ktNOSxx9P/uRPkq22Sg45\nJDnjjOTb305WrOh3xUCv2YECAADQxowZyWGHNa8kefjh5Fvfak6onHhic4Xy/vu3TqjMmZNssEF/\nawbWLSM8AAAAa+mBB5Krr25dm3z33c0i2oMPTk45xQgPDAMBCgAAwDp2773J+HgTpnz2swIUGAZ2\noDAwzBLTDf1Cp/QK3dAvdEqv0M7WWydHH91ckQwMBwEKAAAAQBtGeAAAAHrINcYwHJxAAQAAAGhD\ngMLAMEtMN/QLndIrdEO/0Cm9AjB6BCgAAAAAbdiBAgAA0EN2oMBwcAIFAAAAoA0BCgPDLDHd0C90\nSq/QDf1Cp/QKwOgRoAAAAAC0YQcKAABAD9mBAsPBCRQAAACANgQoDAyzxHRDv9ApvUI39Aud0isA\no0eAAgAAANCGHSgAAAA9ZAcKDAcnUAAAAADaEKAwMMwS0w39Qqf0Ct3QL3RKrwCMHgEKAAAAQBt2\noAAAAPSQHSgwHJxAAQAAAGhDgMLAMEtMN/QLndIrdEO/0Cm9AjB6BCgAAAAAbdiBAgAA0EN2oMBw\ncAIFAAAAoA0BCgPDLDHd0C90Sq/QDf1Cp/QKwOgRoAAAAAC0YQcKAABAD9mBAsPBCRQAAACANgQo\nDAyzxHRDv9ApvUI39Aud0isAo0eAAgAAANCGHSgAAAA9ZAcKDAcnUAAAAADaEKAwMMwS0w39Qqf0\nCt3QL3RKrwCMHgEKAAAAQBt2oAAAAPSQHSgwHJxAAQAAAGhDgMLAMEtMN/QLndIrdEO/0Cm9AjB6\nBCgAAAAAbdiBAgAA0EN2oMBwcAIFAAAAoA0BCgPDLDHd0C90Sq/QDf1Cp/QKwOgRoAAAAAC0YQcK\nAABAD9mBAsPBCRQAAACANgQoDAyzxHRDv9ApvUI39Aud0isAo0eAAgAAANCGHSgAAAA9ZAcKDAcn\nUAAAAADaEKAwMMwS0w39Qqf0Ct3QL3RKrwCMHgEKAAAAQBt2oAAAAPSQHSgwHJxAAQAAAGhDgMLA\nMEtMN/QLndIrdEO/0Cm9AjB6BCgAAAAAbdiBAgAA0EN2oMBwcAIFAAAAoA0BCgPDLDHd0C90Sq/Q\nDf1Cp/QKwOgRoAAAAAC0YQcKAABAD9mBAsPBCRQAAACANtoGKKWUaaWUhaWUxaWUm0oppz/j799X\nSnmqlLJF78pkFJglphv6hU7pFbqhX+iUXgEYPW0DlFrr40nGaq17Jpmd5LWllH2SpJQyM8mhSX7a\n0yoZCUuWLOl3CUwi+oVO6RW6oV/olF4BGD0djfDUWh+d+HBakqlJVi01+WSS9/egLkbQQw891O8S\nmET0C53SK3RDv9ApvQIwejoKUEopU0opi5Pck+SqWuuiUsoRSZbVWm/qaYUAAAAAfTa1k0+qtT6V\nZM9SyqZJLi2l7Jbk1DTjO6vYKs1aWbp0ab9LYBLRL3RKr9AN/UKn9ArA6On6GuNSyp+lGeE5Mcmj\naYKTmUnuTrJPrXX5Mz7fHcYAAMBIc40xTH5tT6CUUrZMsqLW+nApZaM0p07OrLVu87TPuSPJnFrr\ng8/8ej8oAAAAgMmukxGebZOcXUqZkmZnyoW11suf8Tk1RngAAACAIdX1CA8AAADAqOnoFp41UUo5\nvJRySynl1lLKn/Tq+zD5lVI+X0q5t5RyY79rYfCVUmaWUuaXUv6jlHJTKeWkftfEYCqlTCulLCyl\nLJ7oldP7XRODbeLWwe+VUv6l37Uw2EopS0sp35/4+XJ9v+thsJVSNiulzCul3Dzx+8sr+10TsGZ6\ncgJlYtzn1iSHJPlZkkVJjqm13rLOvxmTXinlgCS/SHJOrXX3ftfDYCulbJNkm1rrklLKJkluSHKk\nny+sTill41rro6WUDZJcm+SkWqt/2WG1SimnJNkryaa11iP6XQ+Dq5TykyR7rW7/HzxTKeWfk1xd\na/1iKWVqko1rrY/0uSxgDfTqBMo+SW6rtf601roiyQVJjuzR92KSq7Vek8QvIHSk1npPrXXJxMe/\nSHJzku36WxWDqtb66MSH09Ls/TK3ymqVUmYmeV2S/9vvWpgUSnp4kpvhUUrZNMmBtdYvJkmtdaXw\nBCavXv3g3y7Jsqc93xX/ggOsY6WU7ZPMTrKwv5UwqCZGMhYnuSfJVbXWRf2uiYH1ySTvj5CNztQk\nV5VSFpVSfr/fxTDQdkjyn6WUL06MCP7TxM2mwCQkOQcmpYnxnYuSnDxxEgX+l1rrU7XWPZPMTPLK\nUsqu/a6JwVNK+a0k906cbitxsyDt7V9rnZPm1NIfTYwjw+pMTTInyacneubRJP+nvyUBa6pXAcrd\nSV70tOeZE+8BrLWJ+eGLkpxba/1Kv+th8E0cl16Q5PB+18JA2j/JERN7Lb6cZKyUck6fa2KA1Vp/\nPvHnfUkuTTO+DqtzV5JltdbvTjxflCZQASahXgUoi5LsVEp5cSnlOUmOSWKjPb+O/+JHN76Q5Ie1\n1r/rdyEMrlLKlqWUzSY+3ijJoUksG+Z/qbWeWmt9Ua11xzS/s8yvtR7X77oYTKWUjSdOQaaUMiPJ\nYUl+0N+qGFS11nuTLCulvHTirUOS/LCPJQFrYWov/qG11idLKScmuTJNSPP5WuvNvfheTH6llPOT\nzE3yvFLKnUlOX7VoC56plLJ/krcmuWlit0VNcmqt9Yr+VsYA2jbJ2RM3w01JcmGt9fI+1wRMflsn\nubSUUtP8Ln1erfXKPtfEYDspyXmllA2T/CTJ2/tcD7CGenKNMQAAAMAwsUQWAAAAoA0BCgAAAEAb\nAhQAAACANgQoAAAAAG0IUAAAAADaEKAAAAAAtCFAAQAAAGhDgAIAAADQxv8HSahfh7FxuUMAAAAA\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8ebdc58f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PlotLog({\n",
    "    './vgg-gbvs.log': ('b', '-', 'ResNet')\n",
    "}, 'testTop1', False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PnsxRRx1Fs2bNtvrz25Ig6hKaigqCIKzq75AkSZKktFo3/rAN61Orh393y4/TTz+ddu3a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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8ebdb5c6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PlotLog({\n",
    "    './vgg-gbvs.log': ('b', '-', 'ResNet')\n",
    "}, 'testTop5', False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  },
  "ssap_exp_config": {
   "error_alert": "Error Occurs!",
   "initial": [],
   "max_iteration": 5,
   "recv_id": "",
   "running": [],
   "summary": [],
   "version": "1.1.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
